Adaptation of the two-item generalized anxiety disorder scale (GAD-2) to Chinese rural population: A validation study and meta-analysis
Adaptation of the two-item generalized anxiety disorder scale (GAD-2) to Chinese rural population: A validation study and meta-analysis
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DOI：
10.1016/j.genhosppsych.2019.07.008
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发表时间：
2019-09-01
影响因子：
7
通讯作者：
Wang, Chongjian
中科院分区：
文献类型：
--
作者：
Luo, Zhicheng;Li, Yuqian;Wang, Chongjian
目的：两项目广泛性焦虑症量表（GAD-2）已在不同人群中进行了调查，但在中国人群中的评估有限。本研究旨在通过验证研究和更新的荟萃分析来验证 GAD-2 对识别 GAD 的诊断准确性。方法：我们于 2015 年从“河南农村队列研究”中招募了 694 名成年人，其中采用 GAD-7 问卷作为金标准诊断。确定了受试者工作特征 (ROC) 曲线和 Cronbach's a。此外，还进行了一项荟萃分析来评估 GAD-2 的有效性。结果：在这项研究中，37 名患者[5.33%；5.33%]。 95% 置信区间 (CH: 3.78-7.27%] 符合当前 GAD 的标准。GAD-2 显示的 Cronbach's alpha 为 0.806，ROC 曲线下面积 (AUC) 为 0.954 (95% CI: 0.936-0.968)。在截止值为 3 时，GAD-2 的 Youden 指数最高为 0.845，其中灵敏度为0.865 特异性为 0.980。荟萃分析共纳入 13 项研究。在最佳截止值 3 时，汇总的敏感性、特异性和诊断比值比 (DOR) 分别为 0.80、0.82 和 17.81。结论：GAD-2 在中国农村人口中以 3 的截止值识别 GAD 具有可接受的特性。
Objective: The two-item generalized anxiety disorder scale (GAD-2) has been investigated in different populations, but with limited evaluation in the Chinese population. This study aimed to validate the diagnostic accuracy of GAD-2 for identifying GAD through a validation study along with an updated meta-analysis.Methods: We recruited 694 adults in 2015 from "the Henan Rural Cohort study" where the GAD-7 questionnaire was adopted as the gold standard diagnosis. Receiver operating characteristics (ROC) curve and Cronbach's a were determined. Furthermore, a meta-analysis was conducted to evaluate the effectiveness of the GAD-2.Results: In this study, 37 patients [5.33%; 95% confidence interval (CH: 3.78-7.27%] met the criteria for current GAD. The GAD-2 showed a Cronbach's alpha of 0.806 and an area under the ROC curve (AUC) of 0.954 (95% CI: 0.936-0.968). At a cutoff of 3, GAD-2 had highest Youden's index of 0.845, with a sensitivity of 0.865 and a specificity of 0.980. A total of 13 studies were included in the meta-analysis. The pooled sensitivity, specificity and diagnostic odds ratio (DOR) were 0.80, 0.82 and 17.81, respectively, at the optimal cutoff of 3.Conclusion: GAD-2 has acceptable properties for identifying GAD at a cutoff of 3 in the Chinese rural population.